Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "27"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 27 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 32 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 32 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 27, Node N01:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460015 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 11.000483 14.435462 11.113925 11.493910 5.837245 7.014034 2.509630 1.973180 0.0304 0.0303 0.0005 nan nan
2460014 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.310278 12.334316 8.415637 8.653680 8.840370 10.479280 1.868329 1.334444 0.0291 0.0294 0.0006 nan nan
2460013 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 11.022832 14.469575 11.151138 11.425772 6.067418 7.165154 3.626132 2.945145 0.0300 0.0300 0.0005 nan nan
2460012 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.018856 13.589467 10.954717 11.255733 6.463248 7.756629 4.023918 3.221366 0.0304 0.0316 0.0006 nan nan
2460011 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 11.335149 14.623823 14.585936 15.064884 13.448213 16.045572 3.305630 2.795375 0.0307 0.0331 0.0006 nan nan
2460010 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 12.158499 16.009008 11.723447 12.479410 9.225372 10.495912 3.046621 2.419538 0.0258 0.0255 0.0014 nan nan
2460009 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 11.285012 14.784793 13.072251 13.745323 7.338797 8.873986 2.761064 2.466316 0.0345 0.0385 0.0055 nan nan
2460008 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 13.654959 18.065544 14.302310 15.120092 6.652344 7.796839 5.018526 5.643500 0.0372 0.0414 0.0058 nan nan
2460007 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.075866 13.532035 11.178367 11.824065 5.939832 7.247336 3.452270 2.811575 0.0356 0.0395 0.0057 nan nan
2459999 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0299 0.0309 0.0020 nan nan
2459998 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 8.814476 11.446954 9.572733 10.006087 8.028623 10.237712 2.495198 1.817822 0.0329 0.0360 0.0043 nan nan
2459997 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459996 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.498260 13.439099 12.730858 13.171506 7.319440 9.296498 1.669203 1.326949 0.0331 0.0371 0.0048 nan nan
2459995 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.628122 13.628060 11.816030 12.369375 8.053308 9.507581 1.568117 1.306511 0.0362 0.0408 0.0053 nan nan
2459994 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.218498 13.189658 10.196691 10.831910 7.797618 9.578014 1.372835 0.981329 0.0337 0.0372 0.0044 nan nan
2459993 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 11.289139 12.353708 9.474668 10.034458 10.210294 10.950378 1.796631 2.545125 0.0305 0.0319 0.0031 nan nan
2459991 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 12.093565 15.348140 10.040876 10.623430 9.206473 10.784325 1.474650 1.024430 0.0335 0.0364 0.0039 nan nan
2459990 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 9.810733 12.654438 9.832426 10.317807 9.106198 11.063529 1.450587 0.864646 0.0348 0.0384 0.0046 nan nan
2459989 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 9.594489 12.831621 8.750005 9.434449 8.038596 9.285440 1.053730 0.700951 0.0330 0.0362 0.0042 nan nan
2459988 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 11.493211 15.011513 10.142070 10.603264 10.825271 13.253183 1.187406 0.803615 0.0330 0.0357 0.0041 nan nan
2459987 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 9.488319 12.566610 9.838097 10.468336 6.405015 7.994966 2.392497 2.188294 0.0347 0.0381 0.0044 nan nan
2459986 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 11.907127 15.456235 10.774957 11.297413 9.415073 11.289829 6.254041 9.732616 0.0338 0.0372 0.0044 nan nan
2459985 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 11.408813 13.935110 9.993185 10.526459 7.255821 8.642461 3.120223 2.149682 0.0338 0.0370 0.0044 nan nan
2459984 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.408308 13.454309 10.357270 10.909519 9.440773 12.104785 3.167326 2.906987 0.0353 0.0387 0.0048 nan nan
2459983 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.098072 13.099537 9.912714 10.319918 9.313680 11.186673 3.872819 6.379010 0.0346 0.0378 0.0042 nan nan
2459982 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 8.654340 10.877104 8.395886 8.803095 4.537824 5.292005 2.477638 3.275014 0.0337 0.0370 0.0043 nan nan
2459981 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 9.521608 12.075740 10.565115 10.976387 10.478008 12.396419 1.603033 1.112836 0.0354 0.0388 0.0044 nan nan
2459980 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 9.358331 11.643604 9.496914 10.036180 9.068516 10.844197 5.348700 5.345249 0.0347 0.0383 0.0045 nan nan
2459979 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 9.742740 12.136962 8.796780 9.386124 8.965994 10.125302 1.208057 0.791152 0.0356 0.0372 0.0043 nan nan
2459978 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 9.711045 12.331670 9.553601 10.105066 9.384020 10.998893 1.610562 1.097200 0.0325 0.0353 0.0040 nan nan
2459977 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 10.057518 13.110266 9.383178 9.963550 9.263383 11.323256 1.626160 1.205823 0.0351 0.0387 0.0046 nan nan
2459976 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 9.909564 12.571078 9.874516 10.374235 9.466361 10.883477 1.827966 1.324100 0.0332 0.0365 0.0043 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 27: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 14.435462 14.435462 11.000483 11.493910 11.113925 7.014034 5.837245 1.973180 2.509630

Antenna 27: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 12.334316 10.310278 12.334316 8.415637 8.653680 8.840370 10.479280 1.868329 1.334444

Antenna 27: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 14.469575 11.022832 14.469575 11.151138 11.425772 6.067418 7.165154 3.626132 2.945145

Antenna 27: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 13.589467 10.018856 13.589467 10.954717 11.255733 6.463248 7.756629 4.023918 3.221366

Antenna 27: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Temporal Variability 16.045572 11.335149 14.623823 14.585936 15.064884 13.448213 16.045572 3.305630 2.795375

Antenna 27: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 16.009008 12.158499 16.009008 11.723447 12.479410 9.225372 10.495912 3.046621 2.419538

Antenna 27: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 14.784793 11.285012 14.784793 13.072251 13.745323 7.338797 8.873986 2.761064 2.466316

Antenna 27: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 18.065544 18.065544 13.654959 15.120092 14.302310 7.796839 6.652344 5.643500 5.018526

Antenna 27: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 13.532035 10.075866 13.532035 11.178367 11.824065 5.939832 7.247336 3.452270 2.811575

Antenna 27: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 27: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 11.446954 8.814476 11.446954 9.572733 10.006087 8.028623 10.237712 2.495198 1.817822

Antenna 27: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 27: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 13.439099 10.498260 13.439099 12.730858 13.171506 7.319440 9.296498 1.669203 1.326949

Antenna 27: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 13.628060 10.628122 13.628060 11.816030 12.369375 8.053308 9.507581 1.568117 1.306511

Antenna 27: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 13.189658 10.218498 13.189658 10.196691 10.831910 7.797618 9.578014 1.372835 0.981329

Antenna 27: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 12.353708 11.289139 12.353708 9.474668 10.034458 10.210294 10.950378 1.796631 2.545125

Antenna 27: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 15.348140 12.093565 15.348140 10.040876 10.623430 9.206473 10.784325 1.474650 1.024430

Antenna 27: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 12.654438 12.654438 9.810733 10.317807 9.832426 11.063529 9.106198 0.864646 1.450587

Antenna 27: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 12.831621 12.831621 9.594489 9.434449 8.750005 9.285440 8.038596 0.700951 1.053730

Antenna 27: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 15.011513 15.011513 11.493211 10.603264 10.142070 13.253183 10.825271 0.803615 1.187406

Antenna 27: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 12.566610 9.488319 12.566610 9.838097 10.468336 6.405015 7.994966 2.392497 2.188294

Antenna 27: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 15.456235 15.456235 11.907127 11.297413 10.774957 11.289829 9.415073 9.732616 6.254041

Antenna 27: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 13.935110 13.935110 11.408813 10.526459 9.993185 8.642461 7.255821 2.149682 3.120223

Antenna 27: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 13.454309 10.408308 13.454309 10.357270 10.909519 9.440773 12.104785 3.167326 2.906987

Antenna 27: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 13.099537 10.098072 13.099537 9.912714 10.319918 9.313680 11.186673 3.872819 6.379010

Antenna 27: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 10.877104 8.654340 10.877104 8.395886 8.803095 4.537824 5.292005 2.477638 3.275014

Antenna 27: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Temporal Variability 12.396419 12.075740 9.521608 10.976387 10.565115 12.396419 10.478008 1.112836 1.603033

Antenna 27: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 11.643604 11.643604 9.358331 10.036180 9.496914 10.844197 9.068516 5.345249 5.348700

Antenna 27: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 12.136962 9.742740 12.136962 8.796780 9.386124 8.965994 10.125302 1.208057 0.791152

Antenna 27: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 12.331670 12.331670 9.711045 10.105066 9.553601 10.998893 9.384020 1.097200 1.610562

Antenna 27: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 13.110266 10.057518 13.110266 9.383178 9.963550 9.263383 11.323256 1.626160 1.205823

Antenna 27: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
27 N01 RF_maintenance nn Shape 12.571078 12.571078 9.909564 10.374235 9.874516 10.883477 9.466361 1.324100 1.827966
In [ ]: